10 datasets found
  1. e

    Geodatabase for the Baltimore Ecosystem Study Spatial Data

    • portal.edirepository.org
    • search.dataone.org
    application/vnd.rar
    Updated May 4, 2012
    + more versions
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    Jarlath O'Neal-Dunne; Morgan Grove (2012). Geodatabase for the Baltimore Ecosystem Study Spatial Data [Dataset]. http://doi.org/10.6073/pasta/377da686246f06554f7e517de596cd2b
    Explore at:
    application/vnd.rar(29574980 kilobyte)Available download formats
    Dataset updated
    May 4, 2012
    Dataset provided by
    EDI
    Authors
    Jarlath O'Neal-Dunne; Morgan Grove
    Time period covered
    Jan 1, 1999 - Jun 1, 2014
    Area covered
    Description

    The establishment of a BES Multi-User Geodatabase (BES-MUG) allows for the storage, management, and distribution of geospatial data associated with the Baltimore Ecosystem Study. At present, BES data is distributed over the internet via the BES website. While having geospatial data available for download is a vast improvement over having the data housed at individual research institutions, it still suffers from some limitations. BES-MUG overcomes these limitations; improving the quality of the geospatial data available to BES researches, thereby leading to more informed decision-making.

       BES-MUG builds on Environmental Systems Research Institute's (ESRI) ArcGIS and ArcSDE technology. ESRI was selected because its geospatial software offers robust capabilities. ArcGIS is implemented agency-wide within the USDA and is the predominant geospatial software package used by collaborating institutions.
    
    
       Commercially available enterprise database packages (DB2, Oracle, SQL) provide an efficient means to store, manage, and share large datasets. However, standard database capabilities are limited with respect to geographic datasets because they lack the ability to deal with complex spatial relationships. By using ESRI's ArcSDE (Spatial Database Engine) in conjunction with database software, geospatial data can be handled much more effectively through the implementation of the Geodatabase model. Through ArcSDE and the Geodatabase model the database's capabilities are expanded, allowing for multiuser editing, intelligent feature types, and the establishment of rules and relationships. ArcSDE also allows users to connect to the database using ArcGIS software without being burdened by the intricacies of the database itself.
    
    
       For an example of how BES-MUG will help improve the quality and timeless of BES geospatial data consider a census block group layer that is in need of updating. Rather than the researcher downloading the dataset, editing it, and resubmitting to through ORS, access rules will allow the authorized user to edit the dataset over the network. Established rules will ensure that the attribute and topological integrity is maintained, so that key fields are not left blank and that the block group boundaries stay within tract boundaries. Metadata will automatically be updated showing who edited the dataset and when they did in the event any questions arise.
    
    
       Currently, a functioning prototype Multi-User Database has been developed for BES at the University of Vermont Spatial Analysis Lab, using Arc SDE and IBM's DB2 Enterprise Database as a back end architecture. This database, which is currently only accessible to those on the UVM campus network, will shortly be migrated to a Linux server where it will be accessible for database connections over the Internet. Passwords can then be handed out to all interested researchers on the project, who will be able to make a database connection through the Geographic Information Systems software interface on their desktop computer. 
    
    
       This database will include a very large number of thematic layers. Those layers are currently divided into biophysical, socio-economic and imagery categories. Biophysical includes data on topography, soils, forest cover, habitat areas, hydrology and toxics. Socio-economics includes political and administrative boundaries, transportation and infrastructure networks, property data, census data, household survey data, parks, protected areas, land use/land cover, zoning, public health and historic land use change. Imagery includes a variety of aerial and satellite imagery.
    
    
       See the readme: http://96.56.36.108/geodatabase_SAL/readme.txt
    
    
       See the file listing: http://96.56.36.108/geodatabase_SAL/diroutput.txt
    
  2. Trees

    • hub.arcgis.com
    • cacgeoportal.com
    • +1more
    Updated Feb 1, 2019
    + more versions
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    Esri (2019). Trees [Dataset]. https://hub.arcgis.com/maps/esri::trees
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    Dataset updated
    Feb 1, 2019
    Dataset authored and provided by
    Esrihttp://esri.com/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    This layer features special areas of interest (AOIs) that have been contributed to Esri Community Maps using the new Community Maps Editor app. The data that is accepted by Esri will be included in selected Esri basemaps, including our suite of Esri Vector Basemaps, and made available through this layer to export and use offline. Export DataThe contributed data is also available for contributors and other users to export (or extract) and re-use for their own purposes. Users can export the full layer from the ArcGIS Online item details page by clicking the Export Data button and selecting one of the supported formats (e.g. shapefile, or file geodatabase (FGDB)). User can extract selected layers for an area of interest by opening in Map Viewer, clicking the Analysis button, viewing the Manage Data tools, and using the Extract Data tool. To display this data with proper symbology and metadata in ArcGIS Pro, you can download and use this layer file.Data UsageThe data contributed through the Community Maps Editor app is primarily intended for use in the Esri Basemaps. Esri staff will periodically (e.g. weekly) review the contents of the contributed data and either accept or reject the data for use in the basemaps. Accepted features will be added to the Esri basemaps in a subsequent update and will remain in the app for the contributor or others to edit over time. Rejected features will be removed from the app.Esri Community Maps Contributors and other ArcGIS Online users can download accepted features from this layer for their internal use or map publishing, subject to the terms of use below.

  3. Community Maps Editor

    • onemap-esri.hub.arcgis.com
    Updated Jun 24, 2019
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    Esri (2019). Community Maps Editor [Dataset]. https://onemap-esri.hub.arcgis.com/datasets/esri::community-maps-editor-1
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    Dataset updated
    Jun 24, 2019
    Dataset authored and provided by
    Esrihttp://esri.com/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    North Pacific Ocean, Pacific Ocean
    Description

    The Community Maps Editor is a web app that enables you to edit parts of the Esri Community Maps basemap to add detailed features for universities, schools, parks, landmarks, campuses, and other special areas of interest. Members of this group are able to access the app and edit features. Click View Application and Join This Group to use the app.The app enables you to edit features using Esri's World Imagery as the basemap. The app has advanced editing tools for drawing curves and precise angles, snapping to existing features, using pre-defined stencils, and copying and pasting selected features. Check out our videos to learn the basics as well as some tips and tricks to quickly and accurately edit many types of features for your area of interest. Additional videos and help resources will be available within the app.Introducing the Community Maps Editor App (2:11)Overview of the Community Maps Editor App (2:36)

  4. Wetland Assets

    • data.imap.maryland.gov
    • hub.arcgis.com
    Updated Apr 26, 2024
    + more versions
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    ArcGIS Online for Maryland (2024). Wetland Assets [Dataset]. https://data.imap.maryland.gov/datasets/wetland-assets-2
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    Dataset updated
    Apr 26, 2024
    Dataset provided by
    https://arcgis.com/
    Authors
    ArcGIS Online for Maryland
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Esri ArcGIS Online (AGOL) Feature Layer for accessing the MDOT SHA OED EPD Delineated Assets data products.MDOT SHA OED EPD Delineated Assets consists of polygon geometric features with related tabular information which represent the geographic area & location of delineated Wetland Assets, Stream Assets, Study Areas, and Buffer Zones along roadways throughout the State of Maryland. MDOT SHA OED EPD Delineated Assets are owned & maintained by the MDOT SHA Office of Environmental Design (OED), specifically under the MDOT SHA OED Environmental Programs Division (EPD)For more information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

  5. World Topographic Map

    • pacificgeoportal.com
    • visionzero.geohub.lacity.org
    • +7more
    Updated Oct 26, 2017
    + more versions
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    Esri (2017). World Topographic Map [Dataset]. https://www.pacificgeoportal.com/maps/7dc6cea0b1764a1f9af2e679f642f0f5
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    Dataset updated
    Oct 26, 2017
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    World,
    Description

    This vector tile layer presents the World Topographic Map style (World Edition) and provides a basemap for the world, symbolized with a classic Esri topographic map style. This layer includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries, designed for use with World Hillshade for added context. This vector tile layer provides unique capabilities for customization, high-resolution display, and use in mobile devices.This vector tile layer is built using the same data sources used for other Esri Vector Basemaps. For details on data sources contributed by the GIS community, view the map of Community Maps Basemap Contributors. Esri Vector Basemaps are updated monthly.This layer is used in the Topographic web map included in ArcGIS Living Atlas of the World.See the Vector Basemaps group for other vector tile layers, including Topographic (with Contours and Hillshade) multisource tile layer.Customize this StyleLearn more about customizing this vector basemap style using the Vector Tile Style Editor. Additional details are available in ArcGIS Online Blogs and the Esri Vector Basemaps Reference Document.

  6. a

    Data from: Google Earth Engine (GEE)

    • azgeo-open-data-agic.hub.arcgis.com
    • amerigeo.org
    • +1more
    Updated Nov 28, 2018
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    AmeriGEOSS (2018). Google Earth Engine (GEE) [Dataset]. https://azgeo-open-data-agic.hub.arcgis.com/datasets/amerigeoss::google-earth-engine-gee
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    Dataset updated
    Nov 28, 2018
    Dataset authored and provided by
    AmeriGEOSS
    Description

    Meet Earth EngineGoogle Earth Engine combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities and makes it available for scientists, researchers, and developers to detect changes, map trends, and quantify differences on the Earth's surface.SATELLITE IMAGERY+YOUR ALGORITHMS+REAL WORLD APPLICATIONSLEARN MOREGLOBAL-SCALE INSIGHTExplore our interactive timelapse viewer to travel back in time and see how the world has changed over the past twenty-nine years. Timelapse is one example of how Earth Engine can help gain insight into petabyte-scale datasets.EXPLORE TIMELAPSEREADY-TO-USE DATASETSThe public data archive includes more than thirty years of historical imagery and scientific datasets, updated and expanded daily. It contains over twenty petabytes of geospatial data instantly available for analysis.EXPLORE DATASETSSIMPLE, YET POWERFUL APIThe Earth Engine API is available in Python and JavaScript, making it easy to harness the power of Google’s cloud for your own geospatial analysis.EXPLORE THE APIGoogle Earth Engine has made it possible for the first time in history to rapidly and accurately process vast amounts of satellite imagery, identifying where and when tree cover change has occurred at high resolution. Global Forest Watch would not exist without it. For those who care about the future of the planet Google Earth Engine is a great blessing!-Dr. Andrew Steer, President and CEO of the World Resources Institute.CONVENIENT TOOLSUse our web-based code editor for fast, interactive algorithm development with instant access to petabytes of data.LEARN ABOUT THE CODE EDITORSCIENTIFIC AND HUMANITARIAN IMPACTScientists and non-profits use Earth Engine for remote sensing research, predicting disease outbreaks, natural resource management, and more.SEE CASE STUDIESREADY TO BE PART OF THE SOLUTION?SIGN UP NOWTERMS OF SERVICE PRIVACY ABOUT GOOGLE

  7. e

    Empresas Municipales

    • opendata.esri.es
    • cda-idesevilla.opendata.arcgis.com
    • +1more
    Updated Sep 23, 2014
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    IDE.SEVILLA Ayuntamiento de Sevilla (2014). Empresas Municipales [Dataset]. https://opendata.esri.es/datasets/2cdd7d6f2e3a40f7bc0be50cfd84a23e
    Explore at:
    Dataset updated
    Sep 23, 2014
    Dataset authored and provided by
    IDE.SEVILLA Ayuntamiento de Sevilla
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    El Ayuntamiento ha dado forma a la Corporación de Empresas Municipales, que agrupa a las empresas EMASESA, LIPASAM, TUSSAM Y EMVISESAAcceso a página Web.Corporación de empresas Municipales.Fuente:Autor del Dato:Editor del Dato:Fecha de creación:Última actualización:Periodo de actualización: AnualFormato: SHPColaboradores:

  8. a

    Rivers

    • open-data-stancounty-gis.hub.arcgis.com
    Updated May 8, 2021
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    Stanislaus County (2021). Rivers [Dataset]. https://open-data-stancounty-gis.hub.arcgis.com/datasets/rivers
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    Dataset updated
    May 8, 2021
    Dataset authored and provided by
    Stanislaus County
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    The Stanislaus County river centerlines were derived from digitizing the following data sources: National Hydrography Dataset (NHD), USGS 1:24,000 Topographic Map, 2015 Aerial Imagery. Application: (OES Editor)(PG&E PSPS Event)(Planning and Community Development)Web Map: (OES Editor Map)(PG&E PSPS Event Map)(Planning and Community Development Map)

  9. a

    States and Provinces Map

    • hub.arcgis.com
    • gis-fws.opendata.arcgis.com
    Updated May 15, 2019
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    U.S. Fish & Wildlife Service (2019). States and Provinces Map [Dataset]. https://hub.arcgis.com/datasets/6bdbdd05311f40738a3f347caad2d7ff
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    Dataset updated
    May 15, 2019
    Dataset authored and provided by
    U.S. Fish & Wildlife Service
    Area covered
    North Pacific Ocean, Pacific Ocean
    Description

    The purpose of this map service is to be a base for clipping to state and provincial boundaries in the CED (Conservation Efforts Database https://conservationefforts.org/) custom footprint editor. The custom footprint editor allows CED data providers to edit their spatial data submissions in a web environment.The data is a subset of the World Administrative Division dataset. World Administrative Divisions is a detailed dataset of country first level administrative boundaries which can be used at both large and small scales. It has been designed to be used as a basemap and includes a Disputed Boundaires layer that can be used to edit boundaries to fit a users needs and view of the political world.Included are attributes for name and ISO codes, along with notes identifying disputed boundaries and continent information. Particularly useful are the Land_Type and Land_Rank fields which separate polygons based on their area. These attributes are useful for rendering at different scales by providing the ability to turn off small islands which may clutter small scale views.The sagebrush ecosystem is the largest ecosystem type in the continental U.S., providing habitat for more than 350 associated fish and wildlife species. In recognition of the need to conserve a healthy sagebrush ecosystem to provide for the long-term conservation of its inhabitants, the US Fish and Wildlife Service (Service) and United States Geological Survey (USGS) developed the Conservation Efforts Database version 2.1.0 (CED). The purpose of the CED is to efficiently capture the unprecedented level of conservation plans and actions being implemented throughout the sagebrush ecosystem and designed to capture actions not only for its most famous resident, the greater sage-grouse (Centrocercus urophasianus; hereafter, sage-grouse) but for the other species that rely on sagebrush habitats. Understanding the distribution and type of conservation actions happening across the landscape will allow visualization and quantification of the extent to which threats are being addressed.The spatially explicit, web-based Conservation Efforts Database is capable of (1) allowing multiple-users to enter data from different locations, (2) uploading and storing documents, (3) linking conservation actions to one or more threats (one-to-many relationships), (4) reporting functions that would allow summaries of the conservation actions at multiple scales (e.g., management zones, populations, or priority areas for conservation), and (5) accounting for actions at multiple scales from small easements to statewide planning efforts.

  10. a

    Información de la Mujer

    • hub.arcgis.com
    • opendata.esri.es
    • +2more
    Updated Sep 12, 2014
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    IDE.SEVILLA Ayuntamiento de Sevilla (2014). Información de la Mujer [Dataset]. https://hub.arcgis.com/datasets/a07508947e7546a9bbf302e133018b28
    Explore at:
    Dataset updated
    Sep 12, 2014
    Dataset authored and provided by
    IDE.SEVILLA Ayuntamiento de Sevilla
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Los Puntos de Información a la Mujer constituyen la red básica de Atención Integral a la Mujer desde el ámbito municipal. Los PIMs, en colaboración con el Instituto Andaluz de la Mujer, suponen una descentralización y ampliación de los servicios existentes en materia de Igualdad.Acceso a Web.Fuente: Área de Igualdad, Juventud y Relaciones con la Comunidad UniversitariaAutor del Dato:Editor del Dato:Fecha de creación:Última actualización:Periodo de actualización: AnualFormato: SHPColaboradores:

  11. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Jarlath O'Neal-Dunne; Morgan Grove (2012). Geodatabase for the Baltimore Ecosystem Study Spatial Data [Dataset]. http://doi.org/10.6073/pasta/377da686246f06554f7e517de596cd2b

Geodatabase for the Baltimore Ecosystem Study Spatial Data

Explore at:
257 scholarly articles cite this dataset (View in Google Scholar)
application/vnd.rar(29574980 kilobyte)Available download formats
Dataset updated
May 4, 2012
Dataset provided by
EDI
Authors
Jarlath O'Neal-Dunne; Morgan Grove
Time period covered
Jan 1, 1999 - Jun 1, 2014
Area covered
Description

The establishment of a BES Multi-User Geodatabase (BES-MUG) allows for the storage, management, and distribution of geospatial data associated with the Baltimore Ecosystem Study. At present, BES data is distributed over the internet via the BES website. While having geospatial data available for download is a vast improvement over having the data housed at individual research institutions, it still suffers from some limitations. BES-MUG overcomes these limitations; improving the quality of the geospatial data available to BES researches, thereby leading to more informed decision-making.

   BES-MUG builds on Environmental Systems Research Institute's (ESRI) ArcGIS and ArcSDE technology. ESRI was selected because its geospatial software offers robust capabilities. ArcGIS is implemented agency-wide within the USDA and is the predominant geospatial software package used by collaborating institutions.


   Commercially available enterprise database packages (DB2, Oracle, SQL) provide an efficient means to store, manage, and share large datasets. However, standard database capabilities are limited with respect to geographic datasets because they lack the ability to deal with complex spatial relationships. By using ESRI's ArcSDE (Spatial Database Engine) in conjunction with database software, geospatial data can be handled much more effectively through the implementation of the Geodatabase model. Through ArcSDE and the Geodatabase model the database's capabilities are expanded, allowing for multiuser editing, intelligent feature types, and the establishment of rules and relationships. ArcSDE also allows users to connect to the database using ArcGIS software without being burdened by the intricacies of the database itself.


   For an example of how BES-MUG will help improve the quality and timeless of BES geospatial data consider a census block group layer that is in need of updating. Rather than the researcher downloading the dataset, editing it, and resubmitting to through ORS, access rules will allow the authorized user to edit the dataset over the network. Established rules will ensure that the attribute and topological integrity is maintained, so that key fields are not left blank and that the block group boundaries stay within tract boundaries. Metadata will automatically be updated showing who edited the dataset and when they did in the event any questions arise.


   Currently, a functioning prototype Multi-User Database has been developed for BES at the University of Vermont Spatial Analysis Lab, using Arc SDE and IBM's DB2 Enterprise Database as a back end architecture. This database, which is currently only accessible to those on the UVM campus network, will shortly be migrated to a Linux server where it will be accessible for database connections over the Internet. Passwords can then be handed out to all interested researchers on the project, who will be able to make a database connection through the Geographic Information Systems software interface on their desktop computer. 


   This database will include a very large number of thematic layers. Those layers are currently divided into biophysical, socio-economic and imagery categories. Biophysical includes data on topography, soils, forest cover, habitat areas, hydrology and toxics. Socio-economics includes political and administrative boundaries, transportation and infrastructure networks, property data, census data, household survey data, parks, protected areas, land use/land cover, zoning, public health and historic land use change. Imagery includes a variety of aerial and satellite imagery.


   See the readme: http://96.56.36.108/geodatabase_SAL/readme.txt


   See the file listing: http://96.56.36.108/geodatabase_SAL/diroutput.txt
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